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Latent allosteric control of protein interactions by ATP-competitive kinase inhibitors ATP 竞争性激酶抑制剂对蛋白质相互作用的潜伏异构控制
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-11 DOI: 10.1016/j.sbi.2024.102935
David Vaisar, Natalie G. Ahn
Protein kinase inhibitors designed to compete with ATP as a primary mode of action turn out to have considerable effects that go beyond their interference of nucleotide binding. New research shows how kinase activation and sometimes noncatalytic functions of protein kinases can be controlled by allosteric properties of kinase inhibitors, communicating perturbations from the active site to distal regulatory regions.
以与 ATP 竞争为主要作用方式的蛋白激酶抑制剂,其作用远远超出了对核苷酸结合的干扰。新的研究表明,激酶抑制剂的异构特性可以控制激酶活化,有时甚至可以控制蛋白激酶的非催化功能,将扰动从活性位点传递到远端调节区域。
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引用次数: 0
Engineering the native ensemble to tune protein function: Diverse mutational strategies and interlinked molecular mechanisms 设计原生组合以调整蛋白质功能:多种突变策略和相互关联的分子机制
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-10 DOI: 10.1016/j.sbi.2024.102940
Adithi Kannan, Athi N. Naganathan
Natural proteins are fragile entities, intrinsically sensitive to perturbations both at the level of sequence and their immediate environment. Here, we highlight the diverse strategies available for engineering function through mutations influencing backbone conformational entropy, charge–charge interactions, and in the loops and hinge regions, many of which are located far from the active site. It thus appears that there are potentially numerous ways to microscopically vary the identity of residues and the constituent interactions to tune function. Functional modulation could occur via changes in native-state stability, altered thermodynamic coupling extents within the folded structure, redistributed dynamics, or through modulation of the population of conformational substates. As these mechanisms are intrinsically linked and given the pervasive long-range effects of mutations, it is crucial to consider the interaction network as a whole and fully map the native conformational landscape to place mutational effects in the context of allostery and protein evolution.
天然蛋白质是脆弱的实体,其本质上对序列水平及其直接环境的扰动非常敏感。在这里,我们重点介绍了通过突变影响骨架构象熵、电荷-电荷相互作用以及环路和铰链区(其中许多区域远离活性位点)来进行功能工程的各种策略。由此看来,有许多方法可以在微观上改变残基的特性和组成的相互作用,从而调整功能。功能调节可以通过改变原生态稳定性、改变折叠结构内的热力学耦合广度、重新分配动力学或通过调节构象亚态群来实现。由于这些机制之间存在内在联系,而且突变具有普遍的长程效应,因此将相互作用网络视为一个整体并全面绘制原生构象图谱,从而将突变效应置于异构和蛋白质进化的背景中至关重要。
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引用次数: 0
Exascale simulations and beyond 超大规模模拟及其他
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-05 DOI: 10.1016/j.sbi.2024.102939
Paolo Carloni, Karissa Sanbonmatsu
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引用次数: 0
Recent advances in correlative cryo-light and electron microscopy 相关冷冻光镜和电子显微镜的最新进展。
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-10-03 DOI: 10.1016/j.sbi.2024.102934
Joshua A. Pierson , Jie E. Yang , Elizabeth R. Wright
Correlative light and electron microscopy (CLEM) pipelines serve to integrate the imaging modalities of fluorescence light microscopy (FLM) and cryogenic electron microscopy (cryo-EM) to produce contextually relevant high-resolution structural snapshots of biological systems. Innovations in sample preparation, instrumentation, imaging, and data processing have advanced the field of cryo-EM. This review focuses on prior work and recent developments in the field of cryo- EM that support further integration of technologies for correlative microscopy workflows.
相关光电子显微镜(CLEM)管道将荧光光显微镜(FLM)和低温电子显微镜(Cryo-EM)的成像模式整合在一起,生成与生物系统背景相关的高分辨率结构快照。样品制备、仪器、成像和数据处理方面的创新推动了低温电子显微镜领域的发展。本综述重点介绍低温电子显微镜领域的前期工作和近期发展,这些工作和发展支持了相关显微镜工作流程技术的进一步整合。
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引用次数: 0
The role of RNA structure in 3’ end processing in eukaryotes 真核生物中 RNA 结构在 3' 端处理过程中的作用。
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-29 DOI: 10.1016/j.sbi.2024.102933
Jin Xu, Susan Duncan, Yiliang Ding
Maturation of pre-mRNA into fully functional mRNA involves a series of highly coordinated steps that are essential for eukaryotic gene expression. RNA structure has been found to play regulatory roles in many of these steps, including cleavage, polyadenylation, and termination. Recent advances in structure probing techniques have been instrumental in revealing how nascent transcript conformation contributes to these dynamic, co-transcriptional processes. In this review, we present examples where RNA structure affects accessibility and/or function of key processing enzymes, thereby influencing the efficiency and precision of 3′ end processing machinery. We also discuss emerging technologies that could further enhance our understanding of RNA structure mediated regulation of 3’ end processing.
将前 mRNA 成熟为功能完善的 mRNA 涉及一系列高度协调的步骤,这些步骤对于真核生物基因的表达至关重要。研究发现,RNA 结构在其中许多步骤(包括裂解、多腺苷酸化和终止)中都起着调控作用。结构探测技术的最新进展有助于揭示新生转录本构象如何促进这些动态的共转录过程。在本综述中,我们将举例说明 RNA 结构如何影响关键加工酶的可及性和/或功能,从而影响 3' 端加工机制的效率和精度。我们还讨论了一些新兴技术,这些技术可进一步加深我们对 RNA 结构介导的 3' 端处理调控的理解。
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引用次数: 0
Using residue interaction networks to understand protein function and evolution and to engineer new proteins 利用残基相互作用网络了解蛋白质功能和进化,并设计新蛋白质
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-26 DOI: 10.1016/j.sbi.2024.102922
Dariia Yehorova , Bruno Di Geronimo , Michael Robinson , Peter M. Kasson , Shina C.L. Kamerlin
Residue interaction networks (RINs) provide graph-based representations of interaction networks within proteins, providing important insight into the factors driving protein structure, function, and stability relationships. There exists a wide range of tools with which to perform RIN analysis, taking into account different types of interactions, input (crystal structures, simulation trajectories, single proteins, or comparative analysis across proteins), as well as formats, including standalone software, web server, and a web application programming interface (API). In particular, the ability to perform comparative RIN analysis across protein families using “metaRINs” provides a valuable tool with which to dissect protein evolution. This, in turn, highlights hotspots to avoid (or target) for in vitro evolutionary studies, providing a powerful framework that can be exploited to engineer new proteins.
残基相互作用网络(RIN)提供了蛋白质内部相互作用网络的图式表示,为深入了解驱动蛋白质结构、功能和稳定性关系的因素提供了重要依据。目前有多种工具可用于进行 RIN 分析,其中考虑到了不同类型的相互作用、输入(晶体结构、模拟轨迹、单个蛋白质或跨蛋白质比较分析)以及格式,包括独立软件、网络服务器和网络应用程序编程接口 (API)。尤其是使用 "元 RIN "对不同蛋白家族进行 RIN 比较分析的功能,为分析蛋白质进化提供了宝贵的工具。这反过来又突出了体外进化研究需要避免(或瞄准)的热点,提供了一个可用于设计新蛋白质的强大框架。
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引用次数: 0
View from the PEAKs: Insights from structural studies on the PEAK family of pseudokinases 来自 PEAKs 的观点:PEAK 伪激酶家族结构研究的启示
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-24 DOI: 10.1016/j.sbi.2024.102932
Isabelle S. Lucet , Roger J. Daly
The PEAK family of pseudokinase scaffolds, comprising PEAK1 (originally termed SgK269), PEAK2 (SgK223, the human orthologue of rat Pragmin) and PEAK3 (C19orf35), have emerged as important regulators and integrators of cellular signaling and also play oncogenic roles in a variety of human cancers. These proteins undergo both homo- and heterotypic association that act to diversify signal output. Recently, structural and functional characterization of PEAK3 and its protein–protein interactions have shed light on PEAK signaling dynamics and the interdependency of PEAK family members, how PEAK dimerization regulates the binding of downstream effectors, and how 14-3-3 binding acts to regulate PEAK3 signal output. These important advances form the basis of this review.
伪激酶支架 PEAK 家族包括 PEAK1(原名 SgK269)、PEAK2(SgK223,大鼠 Pragmin 的人类直向同源物)和 PEAK3(C19orf35),它们已成为细胞信号传导的重要调节器和整合器,并在多种人类癌症中发挥致癌作用。这些蛋白会发生同型和异型结合,从而使信号输出多样化。最近,PEAK3 及其蛋白-蛋白相互作用的结构和功能特征研究揭示了 PEAK 信号动态和 PEAK 家族成员的相互依存关系、PEAK 二聚化如何调节下游效应物的结合以及 14-3-3 结合如何调节 PEAK3 信号输出。这些重要进展构成了本综述的基础。
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引用次数: 0
Transcriptional machinery as an architect of genome structure 转录机制是基因组结构的设计师
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-21 DOI: 10.1016/j.sbi.2024.102920
Nadezda A. Fursova, Daniel R. Larson

Chromatin organization, facilitated by compartmentalization and loop extrusion, is crucial for proper gene expression and cell viability. Transcription has long been considered important for shaping genome architecture due to its pervasive activity across the genome and impact on the local chromatin environment. Although earlier studies suggested a minimal contribution of transcription to shaping global genome structure, recent insights from high-resolution chromatin contact mapping, polymer simulations, and acute perturbations have revealed its critical role in dynamic chromatin organization at the level of active genes and enhancer-promoter interactions. In this review, we discuss these latest advances, highlighting the direct interplay between transcriptional machinery and loop extrusion. Finally, we explore how transcription of genes and non-coding regulatory elements may contribute to the specificity of gene regulation, focusing on enhancers as sites of targeted cohesin loading.

通过分区和环挤压促进的染色质组织对于正常的基因表达和细胞活力至关重要。长期以来,转录一直被认为是塑造基因组结构的重要因素,因为转录在整个基因组中普遍活跃,并对局部染色质环境产生影响。虽然早期的研究表明转录对塑造全局基因组结构的贡献微乎其微,但最近从高分辨率染色质接触图谱、聚合物模拟和急性扰动中获得的见解揭示了转录在活跃基因和增强子-启动子相互作用水平的动态染色质组织中的关键作用。在这篇综述中,我们将讨论这些最新进展,强调转录机制与环挤压之间的直接相互作用。最后,我们探讨了基因转录和非编码调控元件如何促进基因调控的特异性,重点关注增强子作为靶向凝聚素加载位点的作用。
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引用次数: 0
The next revolution in computational simulations: Harnessing AI and quantum computing in molecular dynamics 计算模拟的下一次革命:在分子动力学中利用人工智能和量子计算
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-21 DOI: 10.1016/j.sbi.2024.102919
Anna Lappala

The integration of artificial intelligence, machine learning and quantum computing into molecular dynamics simulations is catalyzing a revolution in computational biology, improving the accuracy and efficiency of simulations. This review describes the advancements and applications of these technologies to process vast molecular dynamics simulation datasets, adapt parameters of simulations and gain insight into complex biological processes. These advances include the use of predictive force fields, adaptive algorithms and quantum-assisted methodologies. While the integration of artificial intelligence and quantum computing with MD simulations provides insightful and stimulating improvements to our understanding of molecular mechanisms, it could introduce new issues related to data quality, interpretability of models and computational complexity. Modern multidisciplinary approaches are needed to navigate these challenges and exploit the potential of these emerging technologies for MD simulations of biomolecular systems.

将人工智能、机器学习和量子计算整合到分子动力学模拟中,正在催化计算生物学的一场革命,提高模拟的准确性和效率。本综述介绍了这些技术在处理庞大的分子动力学模拟数据集、调整模拟参数和深入了解复杂生物过程方面的进展和应用。这些进步包括使用预测力场、自适应算法和量子辅助方法。虽然人工智能和量子计算与 MD 模拟的整合为我们了解分子机理提供了富有洞察力和激励性的改进,但也可能带来与数据质量、模型可解释性和计算复杂性有关的新问题。需要采用现代多学科方法来应对这些挑战,并挖掘这些新兴技术在生物分子系统 MD 模拟方面的潜力。
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引用次数: 0
Structural and dynamic studies of chromatin by solid-state NMR spectroscopy 利用固态核磁共振光谱对染色质进行结构和动态研究
IF 6.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Pub Date : 2024-09-17 DOI: 10.1016/j.sbi.2024.102921
Christopher P. Jaroniec

Chromatin is a complex of DNA with histone proteins organized into nucleosomes that regulates genome accessibility and controls transcription, replication and repair by dynamically switching between open and compact states as a function of different parameters including histone post-translational modifications and interactions with chromatin modulators. Continuing advances in structural biology techniques including X-ray crystallography, cryo-electron microscopy and nuclear magnetic resonance (NMR) spectroscopy have facilitated studies of chromatin systems, in spite of challenges posed by their large size and dynamic nature, yielding important functional and mechanistic insights. In this review we highlight recent applications of magic angle spinning solid-state NMR – an emerging technique that is uniquely-suited toward providing atomistic information for rigid and flexible regions within biomacromolecular assemblies – to detailed characterization of structure, conformational dynamics and interactions for histone core and tail domains in condensed nucleosomes and oligonucleosome arrays mimicking chromatin at high densities characteristic of the cellular environment.

染色质是 DNA 与组蛋白组成核小体的复合物,它调节基因组的可及性,并控制转录、复制和修复,通过在开放状态和紧密状态之间动态切换作为不同参数(包括组蛋白翻译后修饰以及与染色质调节剂的相互作用)的函数。结构生物学技术(包括 X 射线晶体学、低温电子显微镜和核磁共振(NMR)光谱)的不断进步促进了染色质系统的研究,尽管其庞大的体积和动态性质带来了挑战,但仍产生了重要的功能和机理见解。在这篇综述中,我们将重点介绍魔角旋转固态核磁共振的最新应用--这种新兴技术非常适合为生物大分子组装体中的刚性和柔性区域提供原子信息--在细胞环境特有的高密度条件下,对凝聚核小体和寡核苷酸阵列中组蛋白核心和尾域的结构、构象动力学和相互作用进行详细表征。
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引用次数: 0
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Current opinion in structural biology
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